| Literature DB >> 34840537 |
Barış Metin1, Eli Somer2, Hisham M Abu-Rayya2,3, Adriano Schimmenti4, Buse Göçmen1.
Abstract
Since the emergence of the COVID-19 pandemic, almost all countries have employed varying degrees of lockdown measures to limit the spread of the infection. Previous studies showed that individuals with maladaptive daydreaming (MD) are affected negatively by the lockdown. In this study, we explored a set of lockdown measures (e.g., self-quarantine) and personal factors (e.g., education, history of depression, and personality traits) that might potentially exacerbate MD experienced during the lockdown period. We also examined whether perceived stress acted as a mediator in the relationship between these factors and MD. During the first lockdown from April to June, we analyzed data provided by 1083 individuals from the USA, the UK, Italy, and Turkey. A path analysis revealed that perceived stress mediated the effects on MD of self-quarantine, previous episodes of depression, low education level, and introversion and emotional instability. Our study suggests a conceptual framework for the factors that intensify maladaptive daydreaming under the threats of the pandemic and forced home confinement, offering implications for interventions with vulnerable populations.Entities:
Keywords: COVID-19; Maladaptive daydreaming; Path analysis; Psychological stress
Year: 2021 PMID: 34840537 PMCID: PMC8608233 DOI: 10.1007/s11469-021-00678-w
Source DB: PubMed Journal: Int J Ment Health Addict ISSN: 1557-1874 Impact factor: 11.555
Fig. 1Conceptual model of relatioships between lockdown factors, personal characteristics, perceived stress, and MD
Descriptive statistics of study variables
| Italy | Turkey | UK | USA | |
|---|---|---|---|---|
| MD mean (SD) | 45.04 (26.31) | 39.03 (26.58) | 62.71 (20.88) | 56.60 (23.52) |
| Perceived stress mean (SD) | 2.24 (0.76) | 2.24 (0.71) | 2.51 (0.71) | 2.49 (0.72) |
| Extraversion mean (SD) | 3.86 (1.55) | 4.46 (1.75) | 2.79 (1.45) | 2.96 (1.77) |
| Emotional stability mean (SD) | 3.52 (1.71) | 9.1 (1.42) | 3.18 (1.41) | 3.34 (1.56) |
| Sex (% male) | 29 | 19 | 12 | 13 |
| % Major depression history | 8 | 8 | 21 | 33 |
| % Self-quarantine | 32 | 41 | 52 | 46 |
| % Education level (elementary/bachelor/graduate) | 38/24/37 | 13/33/55 | 40/32/28 | 29/47/24 |
Pearson’s r correlations between study variables
| Extroversion | Emotional stability | Perceived stress | Educationa | Depressionb | |
|---|---|---|---|---|---|
| MD | −.43* | −.40* | .51* | −.33* | .23* |
| Extroversion | .20 | −.29* | .23 | −.16* | |
| Emotional stability | −.50* | .14* | −.16* |
*P < .001
aEducation = 1 (elementary/high school), 2 = bachelor degree, 3 = graduate degree
bDepression = 0 (yes), 1 (no)
Fig. 2Regression estimates of the employment of self-quarantine, lower level of education, introversion, and emotional instability
Mediation model: indirect effects
| Indirect effect | Estimate | Std. error | ||
|---|---|---|---|---|
| Past major depression | 2.77 | 0.62 | 4.45 | <.001 |
| Education | −0.62 | 0.27 | −2.26 | .02 |
| Self-quarantine | 1.38 | 0.44 | 3.11 | .002 |
| Extraversion | −0.72 | 0.14 | −5.09 | <.001 |
| Emotional stability | −2.13 | 0.25 | −8.53 | <.001 |